http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
improved procedure for developing a calibrated hourly simulation model of an electrically heated and cooled commercial building
xvi, 255 leaves : illustrations ; 28 cm.
52-week box-whisker-mean plots to display long-term trends.
A few advanced methods have been proposed as well which
been recognized as an important factor in substantiating how
binned box-whisker-mean analysis to improve x-y scatter
building simulation program to test the new techniques. Use
calibration to improve thermostat schedules and architectural
coefficient of variation of the root mean squared error.
dimensions and shading placement. Several statistical
hourly whole-building electricity data and site-specific
In addition to the graphical calibration techniques, other
include carpet plots and comparative 3-D time-series plots.
measured monthly utility data has been utilized for many
methods are also reviewed for their appropriateness including
methods are also used including indoor temperature
of -0.7% and a CV(RMSE) of 23. 1 % which compare favorably
of the new calibration procedures were able to produce a MBE
on very simple comparisons including bar charts, monthly
overwhelmed with data and suffer from data overlap. In order
percent difference, mean bias error (MBE), and the
percent difference time-series graphs, and x-y scatter plots.
plots, 24-hour weather-daytype box-whisker-mean graphs to
programs, calibration of simulated data to measured data has
rendering as a means of verifying the building envelope
Results are presented using a case study building located in
show hourly temperature-dependent energy use profiles, and
the hourly level. Most of the previous methods have relied
thesis presents new calibration methods including temperature
to improve upon previously established techniques, this
traditional graphical calibration techniques become
Unfortunately, at hourly levels of calibration, many of the
Washington, D.C. In the case study building, nine months of
weather data were measured and used with the DOE-2. 1D
well the model fits a real building. Model calibration to
With the increased use of building energy simulation
with the most accurate hourly neural network models.
years. Recently, efforts have reported calibrated models at
"Major Subject: Mechanical Engineering".